Title

An Efficient Image Representation Technique Using Vector Quantization In Multiple Transform Domains

Keywords

Image coding; Image compression; Image representation; Multiple bases; Multiple transform domains; Split vector quantization; Transform coding

Abstract

A novel technique for the efficient representation of still images is presented which employs vector quantization in multiple transform domains of the image signal. The system projects the subimages, obtained by partitioning the images used for training, into multiple transform domains. Energy-based split vector quantization is used to form code books in each of these domains. An adaptive algorithm to further optimize the accuracy of the code books in each transform domain is also developed. Simulations using sample images show that this scheme provides improved reconstruction quality over existing methods for the same compression ratios, or equivalently, employing the proposed technique, fewer bits per pixel are used for the same reconstruction quality. This is achieved at the expense of increased computation at the encoder. The benefits from the i proved representation efficiency often outweigh the increased computational complexity. © Birfhäuser Boston (2005).

Publication Date

1-1-2005

Publication Title

Circuits, Systems, and Signal Processing

Volume

24

Issue

1

Number of Pages

19-33

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/s00034-004-3070-z

Socpus ID

17444406312 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/17444406312

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